Instructions to use 0x7o/keyt5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 0x7o/keyt5-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("0x7o/keyt5-large") model = AutoModelForSeq2SeqLM.from_pretrained("0x7o/keyt5-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 480fb77f437edb0b9cb3b663b828a25549771a048f9c3c68b63397339f03549c
- Size of remote file:
- 2.95 GB
- SHA256:
- 5733b8fdb92020f6f7579fe4e2c8b6229c2203d98216442477920e08f00025b7
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